Evaluation of Roadside LiDAR-Based and Vision-Based Multi-Model All-Traffic Trajectory Data
Trajectory data has gained increasing attention in the transportation industry due to its capability of providing valuable spatiotemporal information. Recent advancements have introduced a new type of multi-model all-traffic trajectory data which provides high-frequency trajectories of various road...
Main Authors: | Fei Guan, Hao Xu, Yuan Tian |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2023-06-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/23/12/5377 |
Similar Items
-
Vehicle Trajectory Repair Under Full Occlusion and Limited Datapoints with Roadside LiDAR
by: Qiyang Luo, et al.
Published: (2025-02-01) -
Object Detection Based on Roadside LiDAR for Cooperative Driving Automation: A Review
by: Pengpeng Sun, et al.
Published: (2022-11-01) -
Vehicle Detection under Adverse Weather from Roadside LiDAR Data
by: Jianqing Wu, et al.
Published: (2020-06-01) -
RLCFormer: Automatic roadside LiDAR-Camera calibration framework with transformer
by: Rui Tian, et al.
Published: (2024-10-01) -
Adaptive Polar-Grid Gaussian-Mixture Model for Foreground Segmentation Using Roadside LiDAR
by: Luyang Wang, et al.
Published: (2022-05-01)